An Improved Performance Evaluation on Large-Scale Data using MapReduce Technique
作者: P.Selvaramalakshmi Dr. S. Hari Ganesh Dr. S.Florence Tushabe
刊名: International Journal of Computer Science and Mobile Computing- IJCSMC, 2016, Vol.5 (12)
来源数据库: International Journal of Computer Science and Mobile Computing
关键词: MapReduceBig DataZettabyteHadoopHadoop Distributed File System
原始语种摘要: In a day-to-day life, the capacity of data increased enormously with time. The growth of data which will be unmanageable in social networking sites like Facebook, Twitter. In the past two years the data flow can increase in zettabyte. To handle big data there are number of applications has been developed. However, analyzing big data is a very challenging task today. Big Data refers to initiatives and technologies that involve data that is too diverse, high-speed-changing or huge for conventional technologies, skills and infrastructure to address efficiently. The current infrastructure to handle big data is not efficient because of data capacity. The processing of big data problem can be solved by using MapReduce method. The efficient implementation of MapReduce model requires parallel...
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  • Data 数据
  • catering 公共饮食业
  • increase 增加
  • infrastructure 下层构造
  • managing 管理
  • involve 包含
  • implementation 执行
  • years 年代
  • unmanageable 不可操纵的
  • developed 开发